Machine Learning Engineer
Current• Examine Swift code produced by AI models in-depth to find places that could be optimised for speed, memory efficiency, or computational complexity.• Create and put into use benchmarks that compare the effectiveness of AI models to industry best practices and accepted standards.• To improve model performance, suggest and put into practice optimisation strategies such hardware acceleration, data pretreatment, and algorithm selection.• Use profiling tools to find resource consumption trends and performance bottlenecks in AI models.• Analyse and execute APIs to test AI systems and improve integrations.